Robust visual tracking using structural region hierarchy and graph matching

CASIA OpenIR > 模式识别实验室

	Robust visual tracking using structural region hierarchy and graph matching
	Song, Yi-Zhe 1,2; Li, Chuan2 ; Wang, Liang3 ; Hall, Peter 2; Shen, Peiyi 4
发表期刊	NEUROCOMPUTING
	2012-07-15
卷号	89 页码:12-20
文章类型	Article
摘要	Visual tracking aims to match objects of interest in consecutive video frames. This paper proposes a novel and robust algorithm to address the problem of object tracking. To this end, we investigate the fusion of state-of-the-art image segmentation hierarchies and graph matching. More specifically, (i) we represent the object to be tracked using a hierarchy of regions, each of which is described with a combined feature set of SIFT descriptors and color histograms; (ii) we formulate the tracking process as a graph matching problem, which is solved by minimizing an energy function incorporating appearance and geometry contexts; and (iii) more importantly, an effective graph updating mechanism is proposed to adapt to the object changes over time for ensuring the tracking robustness. Experiments are carried out on several challenging sequences and results show that our method performs well in terms of object tracking, even in the presence of variations of scale and illumination, moving camera, occlusion, and background clutter. Crown Copyright (c) 2012 Published by Elsevier B.V. All rights reserved.
关键词	Tracking Image Hierarchy Graph Matching
WOS标题词	Science & Technology ; Technology
关键词[WOS]	SCALE ; FEATURES
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000304638500002
引用统计	被引频次：7[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3816
专题	模式识别实验室
作者单位	1.Univ London, Sch Elect Engn & Comp Sci, London E1 4NS, England 2.Univ Bath, Dept Comp Sci, Bath BA2 7AY, Avon, England 3.Chinese Acad Sci, Inst Automat, NLPR, Beijing 100864, Peoples R China 4.Xidian Univ, Natl Sch Software, Xian 710071, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Song, Yi-Zhe,Li, Chuan,Wang, Liang,et al. Robust visual tracking using structural region hierarchy and graph matching[J]. NEUROCOMPUTING,2012,89:12-20.
APA	Song, Yi-Zhe,Li, Chuan,Wang, Liang,Hall, Peter,&Shen, Peiyi.(2012).Robust visual tracking using structural region hierarchy and graph matching.NEUROCOMPUTING,89,12-20.
MLA	Song, Yi-Zhe,et al."Robust visual tracking using structural region hierarchy and graph matching".NEUROCOMPUTING 89(2012):12-20.